Overview

Dataset statistics

Number of variables17
Number of observations110
Missing cells368
Missing cells (%)19.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.7 KiB
Average record size in memory137.2 B

Variable types

Numeric5
Text7
Categorical4
Unsupported1

Alerts

airdate has constant value ""Constant
id is highly overall correlated with id_embeddedHigh correlation
id_embedded is highly overall correlated with id and 1 other fieldsHigh correlation
season is highly overall correlated with id_embeddedHigh correlation
number is highly overall correlated with typeHigh correlation
type is highly overall correlated with numberHigh correlation
airtime is highly overall correlated with airstampHigh correlation
airstamp is highly overall correlated with airtimeHigh correlation
type is highly imbalanced (87.0%)Imbalance
number has 3 (2.7%) missing valuesMissing
runtime has 3 (2.7%) missing valuesMissing
rating_average has 110 (100.0%) missing valuesMissing
medium has 82 (74.5%) missing valuesMissing
original has 82 (74.5%) missing valuesMissing
summary has 88 (80.0%) missing valuesMissing
id has unique valuesUnique
url has unique valuesUnique
_links_self has unique valuesUnique
rating_average is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-08-05 19:25:49.569969
Analysis finished2023-08-05 19:25:53.605446
Duration4.04 seconds
Software versionydata-profiling vv4.4.0
Download configurationconfig.json

Variables

id
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2453875
Minimum2367123
Maximum2537087
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2023-08-05T14:25:53.691969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2367123
5-th percentile2401849.2
Q12448034.5
median2457417
Q32462453.8
95-th percentile2490585.8
Maximum2537087
Range169964
Interquartile range (IQR)14419.25

Descriptive statistics

Standard deviation24447.553
Coefficient of variation (CV)0.0099628355
Kurtosis3.4958834
Mean2453875
Median Absolute Deviation (MAD)6389.5
Skewness-0.67444522
Sum2.6992625 × 108
Variance5.9768285 × 108
MonotonicityNot monotonic
2023-08-05T14:25:53.859140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2417449 1
 
0.9%
2462035 1
 
0.9%
2458558 1
 
0.9%
2460815 1
 
0.9%
2457522 1
 
0.9%
2457521 1
 
0.9%
2456785 1
 
0.9%
2456784 1
 
0.9%
2462040 1
 
0.9%
2462039 1
 
0.9%
Other values (100) 100
90.9%
ValueCountFrequency (%)
2367123 1
0.9%
2380957 1
0.9%
2387355 1
0.9%
2391046 1
0.9%
2393553 1
0.9%
2399889 1
0.9%
2404245 1
0.9%
2409571 1
0.9%
2417326 1
0.9%
2417449 1
0.9%
ValueCountFrequency (%)
2537087 1
0.9%
2521291 1
0.9%
2502107 1
0.9%
2494236 1
0.9%
2494235 1
0.9%
2493495 1
0.9%
2487030 1
0.9%
2484865 1
0.9%
2472888 1
0.9%
2472887 1
0.9%

id_embedded
Real number (ℝ)

HIGH CORRELATION 

Distinct70
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58168.536
Minimum2266
Maximum68448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2023-08-05T14:25:54.021218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2266
5-th percentile17781.95
Q155805.25
median66041
Q366165.75
95-th percentile66444
Maximum68448
Range66182
Interquartile range (IQR)10360.5

Descriptive statistics

Standard deviation15066.21
Coefficient of variation (CV)0.25900962
Kurtosis4.6745881
Mean58168.536
Median Absolute Deviation (MAD)763
Skewness-2.2930851
Sum6398539
Variance2.2699069 × 108
MonotonicityNot monotonic
2023-08-05T14:25:54.188406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66045 8
 
7.3%
66253 6
 
5.5%
66041 4
 
3.6%
48444 3
 
2.7%
34705 3
 
2.7%
66417 2
 
1.8%
66207 2
 
1.8%
66205 2
 
1.8%
66180 2
 
1.8%
66166 2
 
1.8%
Other values (60) 76
69.1%
ValueCountFrequency (%)
2266 1
 
0.9%
4962 1
 
0.9%
6146 1
 
0.9%
13381 1
 
0.9%
13392 1
 
0.9%
17633 1
 
0.9%
17964 1
 
0.9%
23967 1
 
0.9%
34705 3
2.7%
42384 1
 
0.9%
ValueCountFrequency (%)
68448 1
 
0.9%
67120 2
 
1.8%
67089 1
 
0.9%
66819 1
 
0.9%
66444 2
 
1.8%
66441 1
 
0.9%
66417 2
 
1.8%
66256 1
 
0.9%
66253 6
5.5%
66248 1
 
0.9%

url
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2023-08-05T14:25:54.459446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length130
Median length97
Mean length77.781818
Min length57

Characters and Unicode

Total characters8556
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/2417449/vampiry-srednej-polosy-2x03-seria-3
2nd rowhttps://www.tvmaze.com/episodes/2417326/wu-shen-zhu-zai-1x294-episode-294
3rd rowhttps://www.tvmaze.com/episodes/2437457/wan-jie-du-zun-2x40-episode-90
4th rowhttps://www.tvmaze.com/episodes/2447405/wo-kao-chongzhi-dang-wudi-1x59-no59
5th rowhttps://www.tvmaze.com/episodes/2404245/zhu-xian-1x23-episode-23
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/2417449/vampiry-srednej-polosy-2x03-seria-3 1
 
0.9%
https://www.tvmaze.com/episodes/2457143/hi-venus-1x16-episode-16 1
 
0.9%
https://www.tvmaze.com/episodes/2447405/wo-kao-chongzhi-dang-wudi-1x59-no59 1
 
0.9%
https://www.tvmaze.com/episodes/2404245/zhu-xian-1x23-episode-23 1
 
0.9%
https://www.tvmaze.com/episodes/2409571/forty-millenniums-of-cultivation-1x14-episode-14 1
 
0.9%
https://www.tvmaze.com/episodes/2450418/leveling-up-in-a-fantasy-world-1x17-episode-17 1
 
0.9%
https://www.tvmaze.com/episodes/2436517/ddt-pro-wrestling-2022-12-27-ddt-ganbare-pro-giri-giri-chop-2022 1
 
0.9%
https://www.tvmaze.com/episodes/2434080/eden-descendants-of-instinct-2x07-episode-7 1
 
0.9%
https://www.tvmaze.com/episodes/2436082/ling-jian-zun-5x144-episode-344 1
 
0.9%
https://www.tvmaze.com/episodes/2454340/the-silence-of-the-monster-1x25-episode-25 1
 
0.9%
Other values (100) 100
90.9%
2023-08-05T14:25:54.927867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 738
 
8.6%
- 659
 
7.7%
/ 550
 
6.4%
s 547
 
6.4%
t 474
 
5.5%
o 463
 
5.4%
i 376
 
4.4%
w 359
 
4.2%
p 330
 
3.9%
a 323
 
3.8%
Other values (30) 3737
43.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5744
67.1%
Decimal Number 1273
 
14.9%
Other Punctuation 880
 
10.3%
Dash Punctuation 659
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 738
12.8%
s 547
 
9.5%
t 474
 
8.3%
o 463
 
8.1%
i 376
 
6.5%
w 359
 
6.2%
p 330
 
5.7%
a 323
 
5.6%
m 284
 
4.9%
d 262
 
4.6%
Other values (16) 1588
27.6%
Decimal Number
ValueCountFrequency (%)
2 257
20.2%
1 206
16.2%
4 203
15.9%
0 126
9.9%
5 103
8.1%
3 97
 
7.6%
6 96
 
7.5%
7 72
 
5.7%
9 60
 
4.7%
8 53
 
4.2%
Other Punctuation
ValueCountFrequency (%)
/ 550
62.5%
. 220
 
25.0%
: 110
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 659
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5744
67.1%
Common 2812
32.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 738
12.8%
s 547
 
9.5%
t 474
 
8.3%
o 463
 
8.1%
i 376
 
6.5%
w 359
 
6.2%
p 330
 
5.7%
a 323
 
5.6%
m 284
 
4.9%
d 262
 
4.6%
Other values (16) 1588
27.6%
Common
ValueCountFrequency (%)
- 659
23.4%
/ 550
19.6%
2 257
 
9.1%
. 220
 
7.8%
1 206
 
7.3%
4 203
 
7.2%
0 126
 
4.5%
: 110
 
3.9%
5 103
 
3.7%
3 97
 
3.4%
Other values (4) 281
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8556
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 738
 
8.6%
- 659
 
7.7%
/ 550
 
6.4%
s 547
 
6.4%
t 474
 
5.5%
o 463
 
5.4%
i 376
 
4.4%
w 359
 
4.2%
p 330
 
3.9%
a 323
 
3.8%
Other values (30) 3737
43.7%

name
Text

Distinct77
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2023-08-05T14:25:55.262278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length68
Mean length14.318182
Min length3

Characters and Unicode

Total characters1575
Distinct characters121
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)54.5%

Sample

1st rowСерия 3
2nd rowEpisode 294
3rd rowEpisode 90
4th row№59
5th rowEpisode 23
ValueCountFrequency (%)
episode 61
 
21.2%
the 9
 
3.1%
1 5
 
1.7%
folge 5
 
1.7%
14 5
 
1.7%
6 5
 
1.7%
7 5
 
1.7%
2 4
 
1.4%
16 4
 
1.4%
15 3
 
1.0%
Other values (155) 182
63.2%
2023-08-05T14:25:55.786052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
178
 
11.3%
e 130
 
8.3%
o 107
 
6.8%
i 95
 
6.0%
s 84
 
5.3%
d 76
 
4.8%
p 71
 
4.5%
E 68
 
4.3%
a 52
 
3.3%
r 52
 
3.3%
Other values (111) 662
42.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1004
63.7%
Uppercase Letter 223
 
14.2%
Space Separator 178
 
11.3%
Decimal Number 135
 
8.6%
Other Punctuation 22
 
1.4%
Dash Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%
Open Punctuation 4
 
0.3%
Other Symbol 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 130
12.9%
o 107
10.7%
i 95
 
9.5%
s 84
 
8.4%
d 76
 
7.6%
p 71
 
7.1%
a 52
 
5.2%
r 52
 
5.2%
n 42
 
4.2%
t 28
 
2.8%
Other values (42) 267
26.6%
Uppercase Letter
ValueCountFrequency (%)
E 68
30.5%
T 13
 
5.8%
B 9
 
4.0%
F 9
 
4.0%
A 8
 
3.6%
W 8
 
3.6%
C 7
 
3.1%
P 6
 
2.7%
К 6
 
2.7%
И 5
 
2.2%
Other values (35) 84
37.7%
Decimal Number
ValueCountFrequency (%)
1 33
24.4%
2 24
17.8%
4 13
 
9.6%
3 12
 
8.9%
6 11
 
8.1%
7 11
 
8.1%
5 10
 
7.4%
9 10
 
7.4%
0 8
 
5.9%
8 3
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 6
27.3%
, 5
22.7%
" 2
 
9.1%
# 2
 
9.1%
: 2
 
9.1%
' 2
 
9.1%
? 1
 
4.5%
/ 1
 
4.5%
! 1
 
4.5%
Space Separator
ValueCountFrequency (%)
178
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1029
65.3%
Common 348
 
22.1%
Cyrillic 198
 
12.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 130
12.6%
o 107
10.4%
i 95
 
9.2%
s 84
 
8.2%
d 76
 
7.4%
p 71
 
6.9%
E 68
 
6.6%
a 52
 
5.1%
r 52
 
5.1%
n 42
 
4.1%
Other values (39) 252
24.5%
Cyrillic
ValueCountFrequency (%)
о 15
 
7.6%
к 14
 
7.1%
и 11
 
5.6%
а 11
 
5.6%
е 10
 
5.1%
н 10
 
5.1%
т 10
 
5.1%
с 8
 
4.0%
у 8
 
4.0%
р 7
 
3.5%
Other values (38) 94
47.5%
Common
ValueCountFrequency (%)
178
51.1%
1 33
 
9.5%
2 24
 
6.9%
4 13
 
3.7%
3 12
 
3.4%
6 11
 
3.2%
7 11
 
3.2%
5 10
 
2.9%
9 10
 
2.9%
0 8
 
2.3%
Other values (14) 38
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1376
87.4%
Cyrillic 198
 
12.6%
Letterlike Symbols 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
178
 
12.9%
e 130
 
9.4%
o 107
 
7.8%
i 95
 
6.9%
s 84
 
6.1%
d 76
 
5.5%
p 71
 
5.2%
E 68
 
4.9%
a 52
 
3.8%
r 52
 
3.8%
Other values (62) 463
33.6%
Cyrillic
ValueCountFrequency (%)
о 15
 
7.6%
к 14
 
7.1%
и 11
 
5.6%
а 11
 
5.6%
е 10
 
5.1%
н 10
 
5.1%
т 10
 
5.1%
с 8
 
4.0%
у 8
 
4.0%
р 7
 
3.5%
Other values (38) 94
47.5%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

season
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.15455
Minimum1
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2023-08-05T14:25:56.107022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2022
Maximum2022
Range2021
Interquartile range (IQR)1

Descriptive statistics

Standard deviation495.21439
Coefficient of variation (CV)3.775808
Kurtosis11.342371
Mean131.15455
Median Absolute Deviation (MAD)0
Skewness3.6241715
Sum14427
Variance245237.29
MonotonicityNot monotonic
2023-08-05T14:25:56.243063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 73
66.4%
2 13
 
11.8%
2022 7
 
6.4%
5 3
 
2.7%
15 3
 
2.7%
4 3
 
2.7%
3 2
 
1.8%
7 2
 
1.8%
14 1
 
0.9%
6 1
 
0.9%
Other values (2) 2
 
1.8%
ValueCountFrequency (%)
1 73
66.4%
2 13
 
11.8%
3 2
 
1.8%
4 3
 
2.7%
5 3
 
2.7%
6 1
 
0.9%
7 2
 
1.8%
14 1
 
0.9%
15 3
 
2.7%
16 1
 
0.9%
ValueCountFrequency (%)
2022 7
6.4%
46 1
 
0.9%
16 1
 
0.9%
15 3
2.7%
14 1
 
0.9%
7 2
 
1.8%
6 1
 
0.9%
5 3
2.7%
4 3
2.7%
3 2
 
1.8%

number
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct33
Distinct (%)30.8%
Missing3
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean20.102804
Minimum1
Maximum294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2023-08-05T14:25:56.386963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q317
95-th percentile56.9
Maximum294
Range293
Interquartile range (IQR)13

Descriptive statistics

Standard deviation40.813643
Coefficient of variation (CV)2.0302463
Kurtosis27.672238
Mean20.102804
Median Absolute Deviation (MAD)6
Skewness4.9481302
Sum2151
Variance1665.7535
MonotonicityNot monotonic
2023-08-05T14:25:56.537733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
2 8
 
7.3%
7 8
 
7.3%
6 8
 
7.3%
1 8
 
7.3%
4 8
 
7.3%
14 7
 
6.4%
5 6
 
5.5%
3 6
 
5.5%
16 5
 
4.5%
52 4
 
3.6%
Other values (23) 39
35.5%
ValueCountFrequency (%)
1 8
7.3%
2 8
7.3%
3 6
5.5%
4 8
7.3%
5 6
5.5%
6 8
7.3%
7 8
7.3%
8 3
 
2.7%
9 3
 
2.7%
10 3
 
2.7%
ValueCountFrequency (%)
294 1
 
0.9%
245 1
 
0.9%
144 1
 
0.9%
123 1
 
0.9%
61 1
 
0.9%
59 1
 
0.9%
52 4
3.6%
51 1
 
0.9%
50 1
 
0.9%
40 1
 
0.9%

type
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1008.0 B
regular
107 
insignificant_special
 
2
significant_special
 
1

Length

Max length21
Median length7
Mean length7.3636364
Min length7

Characters and Unicode

Total characters810
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular 107
97.3%
insignificant_special 2
 
1.8%
significant_special 1
 
0.9%

Length

2023-08-05T14:25:56.690831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-05T14:25:56.811045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
regular 107
97.3%
insignificant_special 2
 
1.8%
significant_special 1
 
0.9%

Most occurring characters

ValueCountFrequency (%)
r 214
26.4%
a 113
14.0%
e 110
13.6%
g 110
13.6%
l 110
13.6%
u 107
13.2%
i 14
 
1.7%
n 8
 
1.0%
s 6
 
0.7%
c 6
 
0.7%
Other values (4) 12
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 807
99.6%
Connector Punctuation 3
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 214
26.5%
a 113
14.0%
e 110
13.6%
g 110
13.6%
l 110
13.6%
u 107
13.3%
i 14
 
1.7%
n 8
 
1.0%
s 6
 
0.7%
c 6
 
0.7%
Other values (3) 9
 
1.1%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 807
99.6%
Common 3
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 214
26.5%
a 113
14.0%
e 110
13.6%
g 110
13.6%
l 110
13.6%
u 107
13.3%
i 14
 
1.7%
n 8
 
1.0%
s 6
 
0.7%
c 6
 
0.7%
Other values (3) 9
 
1.1%
Common
ValueCountFrequency (%)
_ 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 810
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 214
26.4%
a 113
14.0%
e 110
13.6%
g 110
13.6%
l 110
13.6%
u 107
13.2%
i 14
 
1.7%
n 8
 
1.0%
s 6
 
0.7%
c 6
 
0.7%
Other values (4) 12
 
1.5%

airdate
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2022-12-27
110 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1100
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-27
2nd row2022-12-27
3rd row2022-12-27
4th row2022-12-27
5th row2022-12-27

Common Values

ValueCountFrequency (%)
2022-12-27 110
100.0%

Length

2023-08-05T14:25:56.936711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-05T14:25:57.041129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-27 110
100.0%

Most occurring characters

ValueCountFrequency (%)
2 550
50.0%
- 220
 
20.0%
0 110
 
10.0%
1 110
 
10.0%
7 110
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 880
80.0%
Dash Punctuation 220
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 550
62.5%
0 110
 
12.5%
1 110
 
12.5%
7 110
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 220
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1100
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 550
50.0%
- 220
 
20.0%
0 110
 
10.0%
1 110
 
10.0%
7 110
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 550
50.0%
- 220
 
20.0%
0 110
 
10.0%
1 110
 
10.0%
7 110
 
10.0%

airtime
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size1008.0 B
62 
18:00
10 
12:00
20:00
10:00
 
6
Other values (10)
16 

Length

Max length5
Median length0
Mean length2.1818182
Min length0

Characters and Unicode

Total characters240
Distinct characters9
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)5.5%

Sample

1st row
2nd row10:00
3rd row10:00
4th row10:00
5th row10:00

Common Values

ValueCountFrequency (%)
62
56.4%
18:00 10
 
9.1%
12:00 9
 
8.2%
20:00 7
 
6.4%
10:00 6
 
5.5%
00:00 4
 
3.6%
19:30 2
 
1.8%
22:00 2
 
1.8%
21:00 2
 
1.8%
17:00 1
 
0.9%
Other values (5) 5
 
4.5%

Length

2023-08-05T14:25:57.161531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18:00 10
20.8%
12:00 9
18.8%
20:00 7
14.6%
10:00 6
12.5%
00:00 4
 
8.3%
19:30 2
 
4.2%
22:00 2
 
4.2%
21:00 2
 
4.2%
17:00 1
 
2.1%
19:50 1
 
2.1%
Other values (4) 4
 
8.3%

Most occurring characters

ValueCountFrequency (%)
0 111
46.2%
: 48
20.0%
1 33
 
13.8%
2 27
 
11.2%
8 10
 
4.2%
3 4
 
1.7%
9 3
 
1.2%
5 3
 
1.2%
7 1
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 192
80.0%
Other Punctuation 48
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 111
57.8%
1 33
 
17.2%
2 27
 
14.1%
8 10
 
5.2%
3 4
 
2.1%
9 3
 
1.6%
5 3
 
1.6%
7 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
: 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 240
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 111
46.2%
: 48
20.0%
1 33
 
13.8%
2 27
 
11.2%
8 10
 
4.2%
3 4
 
1.7%
9 3
 
1.2%
5 3
 
1.2%
7 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 111
46.2%
: 48
20.0%
1 33
 
13.8%
2 27
 
11.2%
8 10
 
4.2%
3 4
 
1.7%
9 3
 
1.2%
5 3
 
1.2%
7 1
 
0.4%

airstamp
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2022-12-27T12:00:00+00:00
46 
2022-12-27T04:00:00+00:00
17 
2022-12-27T10:00:00+00:00
10 
2022-12-27T02:00:00+00:00
2022-12-27T17:00:00+00:00
Other values (17)
25 

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2750
Distinct characters13
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)10.9%

Sample

1st row2022-12-27T00:00:00+00:00
2nd row2022-12-27T02:00:00+00:00
3rd row2022-12-27T02:00:00+00:00
4th row2022-12-27T02:00:00+00:00
5th row2022-12-27T02:00:00+00:00

Common Values

ValueCountFrequency (%)
2022-12-27T12:00:00+00:00 46
41.8%
2022-12-27T04:00:00+00:00 17
 
15.5%
2022-12-27T10:00:00+00:00 10
 
9.1%
2022-12-27T02:00:00+00:00 6
 
5.5%
2022-12-27T17:00:00+00:00 6
 
5.5%
2022-12-27T11:00:00+00:00 4
 
3.6%
2022-12-27T11:30:00+00:00 3
 
2.7%
2022-12-27T03:00:00+00:00 2
 
1.8%
2022-12-28T00:00:00+00:00 2
 
1.8%
2022-12-27T23:00:00+00:00 2
 
1.8%
Other values (12) 12
 
10.9%

Length

2023-08-05T14:25:57.299319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-12-27t12:00:00+00:00 46
41.8%
2022-12-27t04:00:00+00:00 17
 
15.5%
2022-12-27t10:00:00+00:00 10
 
9.1%
2022-12-27t02:00:00+00:00 6
 
5.5%
2022-12-27t17:00:00+00:00 6
 
5.5%
2022-12-27t11:00:00+00:00 4
 
3.6%
2022-12-27t11:30:00+00:00 3
 
2.7%
2022-12-27t03:00:00+00:00 2
 
1.8%
2022-12-28t00:00:00+00:00 2
 
1.8%
2022-12-27t23:00:00+00:00 2
 
1.8%
Other values (12) 12
 
10.9%

Most occurring characters

ValueCountFrequency (%)
0 1029
37.4%
2 608
22.1%
: 330
 
12.0%
- 220
 
8.0%
1 194
 
7.1%
7 112
 
4.1%
T 110
 
4.0%
+ 110
 
4.0%
4 17
 
0.6%
3 10
 
0.4%
Other values (3) 10
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1980
72.0%
Other Punctuation 330
 
12.0%
Dash Punctuation 220
 
8.0%
Uppercase Letter 110
 
4.0%
Math Symbol 110
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1029
52.0%
2 608
30.7%
1 194
 
9.8%
7 112
 
5.7%
4 17
 
0.9%
3 10
 
0.5%
8 4
 
0.2%
5 4
 
0.2%
9 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 330
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 220
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 110
100.0%
Math Symbol
ValueCountFrequency (%)
+ 110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2640
96.0%
Latin 110
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1029
39.0%
2 608
23.0%
: 330
 
12.5%
- 220
 
8.3%
1 194
 
7.3%
7 112
 
4.2%
+ 110
 
4.2%
4 17
 
0.6%
3 10
 
0.4%
8 4
 
0.2%
Other values (2) 6
 
0.2%
Latin
ValueCountFrequency (%)
T 110
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1029
37.4%
2 608
22.1%
: 330
 
12.0%
- 220
 
8.0%
1 194
 
7.1%
7 112
 
4.1%
T 110
 
4.0%
+ 110
 
4.0%
4 17
 
0.6%
3 10
 
0.4%
Other values (3) 10
 
0.4%

runtime
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)33.6%
Missing3
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean43.261682
Minimum4
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1008.0 B
2023-08-05T14:25:57.445635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q129.5
median45
Q349.5
95-th percentile90
Maximum165
Range161
Interquartile range (IQR)20

Descriptive statistics

Standard deviation26.783315
Coefficient of variation (CV)0.61910018
Kurtosis4.3981043
Mean43.261682
Median Absolute Deviation (MAD)10
Skewness1.4350436
Sum4629
Variance717.34597
MonotonicityNot monotonic
2023-08-05T14:25:57.604223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
45 28
25.5%
44 8
 
7.3%
10 7
 
6.4%
5 6
 
5.5%
40 5
 
4.5%
30 5
 
4.5%
42 5
 
4.5%
60 5
 
4.5%
52 4
 
3.6%
29 3
 
2.7%
Other values (26) 31
28.2%
(Missing) 3
 
2.7%
ValueCountFrequency (%)
4 1
 
0.9%
5 6
5.5%
8 1
 
0.9%
9 2
 
1.8%
10 7
6.4%
12 2
 
1.8%
15 1
 
0.9%
19 1
 
0.9%
23 2
 
1.8%
24 1
 
0.9%
ValueCountFrequency (%)
165 1
0.9%
125 1
0.9%
120 1
0.9%
115 1
0.9%
104 1
0.9%
90 2
1.8%
84 1
0.9%
72 1
0.9%
69 1
0.9%
68 1
0.9%

rating_average
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1008.0 B

medium
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing82
Missing (%)74.5%
Memory size1008.0 B
2023-08-05T14:25:57.853703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length73
Mean length73
Min length73

Characters and Unicode

Total characters2044
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/438/1095192.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/437/1093209.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/437/1093208.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/445/1114906.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/437/1093647.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/438/1095192.jpg 1
 
3.6%
https://static.tvmaze.com/uploads/images/medium_landscape/441/1104100.jpg 1
 
3.6%
https://static.tvmaze.com/uploads/images/medium_landscape/437/1093209.jpg 1
 
3.6%
https://static.tvmaze.com/uploads/images/medium_landscape/437/1093208.jpg 1
 
3.6%
https://static.tvmaze.com/uploads/images/medium_landscape/445/1114906.jpg 1
 
3.6%
https://static.tvmaze.com/uploads/images/medium_landscape/437/1093647.jpg 1
 
3.6%
https://static.tvmaze.com/uploads/images/medium_landscape/437/1094483.jpg 1
 
3.6%
https://static.tvmaze.com/uploads/images/medium_landscape/437/1093093.jpg 1
 
3.6%
https://static.tvmaze.com/uploads/images/medium_landscape/437/1093094.jpg 1
 
3.6%
https://static.tvmaze.com/uploads/images/medium_landscape/439/1099546.jpg 1
 
3.6%
Other values (18) 18
64.3%
2023-08-05T14:25:58.246549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 196
 
9.6%
a 168
 
8.2%
t 140
 
6.8%
s 140
 
6.8%
m 140
 
6.8%
p 112
 
5.5%
e 112
 
5.5%
. 84
 
4.1%
c 84
 
4.1%
d 84
 
4.1%
Other values (22) 784
38.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1428
69.9%
Other Punctuation 308
 
15.1%
Decimal Number 280
 
13.7%
Connector Punctuation 28
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 168
11.8%
t 140
9.8%
s 140
9.8%
m 140
9.8%
p 112
 
7.8%
e 112
 
7.8%
c 84
 
5.9%
d 84
 
5.9%
i 84
 
5.9%
g 56
 
3.9%
Other values (8) 308
21.6%
Decimal Number
ValueCountFrequency (%)
4 61
21.8%
1 53
18.9%
0 42
15.0%
3 29
10.4%
9 27
9.6%
7 20
 
7.1%
8 16
 
5.7%
5 14
 
5.0%
6 11
 
3.9%
2 7
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/ 196
63.6%
. 84
27.3%
: 28
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1428
69.9%
Common 616
30.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 168
11.8%
t 140
9.8%
s 140
9.8%
m 140
9.8%
p 112
 
7.8%
e 112
 
7.8%
c 84
 
5.9%
d 84
 
5.9%
i 84
 
5.9%
g 56
 
3.9%
Other values (8) 308
21.6%
Common
ValueCountFrequency (%)
/ 196
31.8%
. 84
13.6%
4 61
 
9.9%
1 53
 
8.6%
0 42
 
6.8%
3 29
 
4.7%
_ 28
 
4.5%
: 28
 
4.5%
9 27
 
4.4%
7 20
 
3.2%
Other values (4) 48
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2044
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 196
 
9.6%
a 168
 
8.2%
t 140
 
6.8%
s 140
 
6.8%
m 140
 
6.8%
p 112
 
5.5%
e 112
 
5.5%
. 84
 
4.1%
c 84
 
4.1%
d 84
 
4.1%
Other values (22) 784
38.4%

original
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing82
Missing (%)74.5%
Memory size1008.0 B
2023-08-05T14:25:58.507705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length75
Mean length75
Min length75

Characters and Unicode

Total characters2100
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/438/1095192.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/437/1093209.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/437/1093208.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/445/1114906.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/437/1093647.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/438/1095192.jpg 1
 
3.6%
https://static.tvmaze.com/uploads/images/original_untouched/441/1104100.jpg 1
 
3.6%
https://static.tvmaze.com/uploads/images/original_untouched/437/1093209.jpg 1
 
3.6%
https://static.tvmaze.com/uploads/images/original_untouched/437/1093208.jpg 1
 
3.6%
https://static.tvmaze.com/uploads/images/original_untouched/445/1114906.jpg 1
 
3.6%
https://static.tvmaze.com/uploads/images/original_untouched/437/1093647.jpg 1
 
3.6%
https://static.tvmaze.com/uploads/images/original_untouched/437/1094483.jpg 1
 
3.6%
https://static.tvmaze.com/uploads/images/original_untouched/437/1093093.jpg 1
 
3.6%
https://static.tvmaze.com/uploads/images/original_untouched/437/1093094.jpg 1
 
3.6%
https://static.tvmaze.com/uploads/images/original_untouched/439/1099546.jpg 1
 
3.6%
Other values (18) 18
64.3%
2023-08-05T14:25:58.900681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 196
 
9.3%
t 168
 
8.0%
a 140
 
6.7%
s 112
 
5.3%
o 112
 
5.3%
i 112
 
5.3%
m 84
 
4.0%
u 84
 
4.0%
e 84
 
4.0%
g 84
 
4.0%
Other values (23) 924
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1484
70.7%
Other Punctuation 308
 
14.7%
Decimal Number 280
 
13.3%
Connector Punctuation 28
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 168
 
11.3%
a 140
 
9.4%
s 112
 
7.5%
o 112
 
7.5%
i 112
 
7.5%
m 84
 
5.7%
u 84
 
5.7%
e 84
 
5.7%
g 84
 
5.7%
c 84
 
5.7%
Other values (9) 420
28.3%
Decimal Number
ValueCountFrequency (%)
4 61
21.8%
1 53
18.9%
0 42
15.0%
3 29
10.4%
9 27
9.6%
7 20
 
7.1%
8 16
 
5.7%
5 14
 
5.0%
6 11
 
3.9%
2 7
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/ 196
63.6%
. 84
27.3%
: 28
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1484
70.7%
Common 616
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 168
 
11.3%
a 140
 
9.4%
s 112
 
7.5%
o 112
 
7.5%
i 112
 
7.5%
m 84
 
5.7%
u 84
 
5.7%
e 84
 
5.7%
g 84
 
5.7%
c 84
 
5.7%
Other values (9) 420
28.3%
Common
ValueCountFrequency (%)
/ 196
31.8%
. 84
13.6%
4 61
 
9.9%
1 53
 
8.6%
0 42
 
6.8%
3 29
 
4.7%
_ 28
 
4.5%
: 28
 
4.5%
9 27
 
4.4%
7 20
 
3.2%
Other values (4) 48
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 196
 
9.3%
t 168
 
8.0%
a 140
 
6.7%
s 112
 
5.3%
o 112
 
5.3%
i 112
 
5.3%
m 84
 
4.0%
u 84
 
4.0%
e 84
 
4.0%
g 84
 
4.0%
Other values (23) 924
44.0%

_links_self
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2023-08-05T14:25:59.126839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters4290
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/2417449
2nd rowhttps://api.tvmaze.com/episodes/2417326
3rd rowhttps://api.tvmaze.com/episodes/2437457
4th rowhttps://api.tvmaze.com/episodes/2447405
5th rowhttps://api.tvmaze.com/episodes/2404245
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/2417449 1
 
0.9%
https://api.tvmaze.com/episodes/2457143 1
 
0.9%
https://api.tvmaze.com/episodes/2447405 1
 
0.9%
https://api.tvmaze.com/episodes/2404245 1
 
0.9%
https://api.tvmaze.com/episodes/2409571 1
 
0.9%
https://api.tvmaze.com/episodes/2450418 1
 
0.9%
https://api.tvmaze.com/episodes/2436517 1
 
0.9%
https://api.tvmaze.com/episodes/2434080 1
 
0.9%
https://api.tvmaze.com/episodes/2436082 1
 
0.9%
https://api.tvmaze.com/episodes/2454340 1
 
0.9%
Other values (100) 100
90.9%
2023-08-05T14:25:59.493147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 440
 
10.3%
p 330
 
7.7%
s 330
 
7.7%
e 330
 
7.7%
t 330
 
7.7%
o 220
 
5.1%
a 220
 
5.1%
i 220
 
5.1%
. 220
 
5.1%
m 220
 
5.1%
Other values (16) 1430
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2750
64.1%
Other Punctuation 770
 
17.9%
Decimal Number 770
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 330
12.0%
s 330
12.0%
e 330
12.0%
t 330
12.0%
o 220
8.0%
a 220
8.0%
i 220
8.0%
m 220
8.0%
h 110
 
4.0%
d 110
 
4.0%
Other values (3) 330
12.0%
Decimal Number
ValueCountFrequency (%)
4 163
21.2%
2 163
21.2%
5 73
9.5%
3 71
9.2%
6 67
8.7%
1 53
 
6.9%
8 47
 
6.1%
0 46
 
6.0%
9 44
 
5.7%
7 43
 
5.6%
Other Punctuation
ValueCountFrequency (%)
/ 440
57.1%
. 220
28.6%
: 110
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 2750
64.1%
Common 1540
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 440
28.6%
. 220
14.3%
4 163
 
10.6%
2 163
 
10.6%
: 110
 
7.1%
5 73
 
4.7%
3 71
 
4.6%
6 67
 
4.4%
1 53
 
3.4%
8 47
 
3.1%
Other values (3) 133
 
8.6%
Latin
ValueCountFrequency (%)
p 330
12.0%
s 330
12.0%
e 330
12.0%
t 330
12.0%
o 220
8.0%
a 220
8.0%
i 220
8.0%
m 220
8.0%
h 110
 
4.0%
d 110
 
4.0%
Other values (3) 330
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 440
 
10.3%
p 330
 
7.7%
s 330
 
7.7%
e 330
 
7.7%
t 330
 
7.7%
o 220
 
5.1%
a 220
 
5.1%
i 220
 
5.1%
. 220
 
5.1%
m 220
 
5.1%
Other values (16) 1430
33.3%
Distinct70
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2023-08-05T14:25:59.754174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length34
Mean length33.972727
Min length33

Characters and Unicode

Total characters3737
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)40.0%

Sample

1st rowhttps://api.tvmaze.com/shows/46433
2nd rowhttps://api.tvmaze.com/shows/54033
3rd rowhttps://api.tvmaze.com/shows/55087
4th rowhttps://api.tvmaze.com/shows/62909
5th rowhttps://api.tvmaze.com/shows/63490
ValueCountFrequency (%)
https://api.tvmaze.com/shows/66045 8
 
7.3%
https://api.tvmaze.com/shows/66253 6
 
5.5%
https://api.tvmaze.com/shows/66041 4
 
3.6%
https://api.tvmaze.com/shows/48444 3
 
2.7%
https://api.tvmaze.com/shows/34705 3
 
2.7%
https://api.tvmaze.com/shows/66162 2
 
1.8%
https://api.tvmaze.com/shows/66077 2
 
1.8%
https://api.tvmaze.com/shows/63737 2
 
1.8%
https://api.tvmaze.com/shows/65894 2
 
1.8%
https://api.tvmaze.com/shows/61565 2
 
1.8%
Other values (60) 76
69.1%
2023-08-05T14:26:00.160747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 440
 
11.8%
s 330
 
8.8%
t 330
 
8.8%
h 220
 
5.9%
p 220
 
5.9%
a 220
 
5.9%
. 220
 
5.9%
o 220
 
5.9%
m 220
 
5.9%
6 159
 
4.3%
Other values (16) 1158
31.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2420
64.8%
Other Punctuation 770
 
20.6%
Decimal Number 547
 
14.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 330
13.6%
t 330
13.6%
h 220
9.1%
p 220
9.1%
a 220
9.1%
o 220
9.1%
m 220
9.1%
e 110
 
4.5%
w 110
 
4.5%
c 110
 
4.5%
Other values (3) 330
13.6%
Decimal Number
ValueCountFrequency (%)
6 159
29.1%
4 71
13.0%
5 60
 
11.0%
0 49
 
9.0%
3 40
 
7.3%
1 39
 
7.1%
2 35
 
6.4%
7 33
 
6.0%
9 32
 
5.9%
8 29
 
5.3%
Other Punctuation
ValueCountFrequency (%)
/ 440
57.1%
. 220
28.6%
: 110
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 2420
64.8%
Common 1317
35.2%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 440
33.4%
. 220
16.7%
6 159
 
12.1%
: 110
 
8.4%
4 71
 
5.4%
5 60
 
4.6%
0 49
 
3.7%
3 40
 
3.0%
1 39
 
3.0%
2 35
 
2.7%
Other values (3) 94
 
7.1%
Latin
ValueCountFrequency (%)
s 330
13.6%
t 330
13.6%
h 220
9.1%
p 220
9.1%
a 220
9.1%
o 220
9.1%
m 220
9.1%
e 110
 
4.5%
w 110
 
4.5%
c 110
 
4.5%
Other values (3) 330
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3737
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 440
 
11.8%
s 330
 
8.8%
t 330
 
8.8%
h 220
 
5.9%
p 220
 
5.9%
a 220
 
5.9%
. 220
 
5.9%
o 220
 
5.9%
m 220
 
5.9%
6 159
 
4.3%
Other values (16) 1158
31.0%

summary
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing88
Missing (%)80.0%
Memory size1008.0 B
2023-08-05T14:26:00.489445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length733
Median length183.5
Mean length222.63636
Min length78

Characters and Unicode

Total characters4898
Distinct characters65
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row<p>Da hates Kenneth Branagh's film Belfast. He is so annoyed that he decides to make his own movie to tell the truth about the Troubles, and it will be called West Belfast.</p>
2nd row<p>Pastor Begbie vows to find an undercover cop called Donny who pretended to be his best friend and got him put away. He doesn't know that 'Donny' was Billy without his moustache.</p>
3rd row<p>Talk of a Troubles amnesty gets Pastor Begbie thinking about all the time he spent in prison. </p><p>He remembers a guy called Donny, who he thought was his best friend. It turned out that Donny was really an undercover cop who befriended Begbie to get evidence against him. He turned Begbie in to the police and sent him to gaol. </p><p>Begbie always vowed to catch up with the 'rat'. Thinking about it makes him angry again, and he becomes determined to track him down. What he doesn't know is that 'Donny' was actually Billy. After Begbie was arrested, Billy grew a moustache. When Begbie got out, he didn't recognise Billy, and the moustache has been his disguise ever since. As long as he keeps it, Billy is safe. <br /> </p>
4th row<p>Last week, the military conflict in Ukraine turned 300 days old. In the reports of recent months, the name of the small town of Bakhmut appears more often than others. Vladimir Zelensky visited there, Yevgeny Prigozhin recorded video messages from there.</p><p>Bakhmut is located at the intersection of the most important roads of the DPR and the LPR — between Lugansk, Donetsk, Slavyansk and Kramatorsk.</p><p>What else do we know about this place and its history? For example, why is it called either Bakhmut or Artemovsk? We analyze in the new edition of the "Editorial Office. Context"</p>
5th row<p>Earth and Mix travel to Tokyo where they tour the city and enjoy shopping and food.</p>
ValueCountFrequency (%)
the 46
 
5.6%
and 32
 
3.9%
to 24
 
2.9%
of 21
 
2.5%
his 16
 
1.9%
he 15
 
1.8%
a 12
 
1.5%
on 11
 
1.3%
in 9
 
1.1%
is 9
 
1.1%
Other values (445) 629
76.3%
2023-08-05T14:26:00.981794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
797
16.3%
e 434
 
8.9%
t 313
 
6.4%
a 309
 
6.3%
n 271
 
5.5%
s 270
 
5.5%
o 264
 
5.4%
i 254
 
5.2%
h 211
 
4.3%
r 191
 
3.9%
Other values (55) 1584
32.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3649
74.5%
Space Separator 802
 
16.4%
Uppercase Letter 172
 
3.5%
Other Punctuation 149
 
3.0%
Math Symbol 106
 
2.2%
Dash Punctuation 15
 
0.3%
Decimal Number 5
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 434
11.9%
t 313
 
8.6%
a 309
 
8.5%
n 271
 
7.4%
s 270
 
7.4%
o 264
 
7.2%
i 254
 
7.0%
h 211
 
5.8%
r 191
 
5.2%
d 148
 
4.1%
Other values (17) 984
27.0%
Uppercase Letter
ValueCountFrequency (%)
B 23
13.4%
A 17
 
9.9%
J 15
 
8.7%
S 14
 
8.1%
T 12
 
7.0%
I 11
 
6.4%
C 10
 
5.8%
P 9
 
5.2%
D 9
 
5.2%
W 8
 
4.7%
Other values (13) 44
25.6%
Other Punctuation
ValueCountFrequency (%)
. 47
31.5%
, 41
27.5%
/ 27
18.1%
' 26
17.4%
? 3
 
2.0%
; 3
 
2.0%
" 2
 
1.3%
Space Separator
ValueCountFrequency (%)
797
99.4%
  5
 
0.6%
Math Symbol
ValueCountFrequency (%)
< 53
50.0%
> 53
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
93.3%
1
 
6.7%
Decimal Number
ValueCountFrequency (%)
0 3
60.0%
3 2
40.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3821
78.0%
Common 1077
 
22.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 434
 
11.4%
t 313
 
8.2%
a 309
 
8.1%
n 271
 
7.1%
s 270
 
7.1%
o 264
 
6.9%
i 254
 
6.6%
h 211
 
5.5%
r 191
 
5.0%
d 148
 
3.9%
Other values (40) 1156
30.3%
Common
ValueCountFrequency (%)
797
74.0%
< 53
 
4.9%
> 53
 
4.9%
. 47
 
4.4%
, 41
 
3.8%
/ 27
 
2.5%
' 26
 
2.4%
- 14
 
1.3%
  5
 
0.5%
0 3
 
0.3%
Other values (5) 11
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4879
99.6%
None 18
 
0.4%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
797
16.3%
e 434
 
8.9%
t 313
 
6.4%
a 309
 
6.3%
n 271
 
5.6%
s 270
 
5.5%
o 264
 
5.4%
i 254
 
5.2%
h 211
 
4.3%
r 191
 
3.9%
Other values (52) 1565
32.1%
None
ValueCountFrequency (%)
é 13
72.2%
  5
 
27.8%
Punctuation
ValueCountFrequency (%)
1
100.0%

Interactions

2023-08-05T14:25:52.464887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:50.122707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:50.676038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:51.380820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:51.931541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:52.572609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:50.228132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:50.784442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:51.489625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:52.034803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:52.687246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:50.340152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:50.891253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:51.601297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:52.141348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:52.802617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:50.451740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:51.007016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:51.713756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:52.251618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:52.909107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:50.559934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:51.271154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:51.820541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:25:52.351855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-08-05T14:26:01.107028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
idid_embeddedseasonnumberruntimetypeairtimeairstamp
id1.0000.649-0.227-0.095-0.2540.0000.3810.500
id_embedded0.6491.000-0.716-0.010-0.1280.3290.1620.410
season-0.227-0.7161.000-0.0170.0150.2040.0000.317
number-0.095-0.010-0.0171.000-0.1411.0000.3910.182
runtime-0.254-0.1280.015-0.1411.0000.3060.2090.411
type0.0000.3290.2041.0000.3061.0000.0000.000
airtime0.3810.1620.0000.3910.2090.0001.0000.856
airstamp0.5000.4100.3170.1820.4110.0000.8561.000

Missing values

2023-08-05T14:25:53.081414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-05T14:25:53.349041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-08-05T14:25:53.522930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
0241744946433https://www.tvmaze.com/episodes/2417449/vampiry-srednej-polosy-2x03-seria-3Серия 323.0regular2022-12-272022-12-27T00:00:00+00:0063.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/438/1095192.jpghttps://static.tvmaze.com/uploads/images/original_untouched/438/1095192.jpghttps://api.tvmaze.com/episodes/2417449https://api.tvmaze.com/shows/46433None
1241732654033https://www.tvmaze.com/episodes/2417326/wu-shen-zhu-zai-1x294-episode-294Episode 2941294.0regular2022-12-2710:002022-12-27T02:00:00+00:005.0NoneNoneNonehttps://api.tvmaze.com/episodes/2417326https://api.tvmaze.com/shows/54033None
2243745755087https://www.tvmaze.com/episodes/2437457/wan-jie-du-zun-2x40-episode-90Episode 90240.0regular2022-12-2710:002022-12-27T02:00:00+00:008.0NoneNoneNonehttps://api.tvmaze.com/episodes/2437457https://api.tvmaze.com/shows/55087None
3244740562909https://www.tvmaze.com/episodes/2447405/wo-kao-chongzhi-dang-wudi-1x59-no59№59159.0regular2022-12-2710:002022-12-27T02:00:00+00:0010.0NoneNoneNonehttps://api.tvmaze.com/episodes/2447405https://api.tvmaze.com/shows/62909None
4240424563490https://www.tvmaze.com/episodes/2404245/zhu-xian-1x23-episode-23Episode 23123.0regular2022-12-2710:002022-12-27T02:00:00+00:0015.0NoneNoneNonehttps://api.tvmaze.com/episodes/2404245https://api.tvmaze.com/shows/63490None
5240957164498https://www.tvmaze.com/episodes/2409571/forty-millenniums-of-cultivation-1x14-episode-14Episode 14114.0regular2022-12-2710:002022-12-27T02:00:00+00:0019.0NoneNoneNonehttps://api.tvmaze.com/episodes/2409571https://api.tvmaze.com/shows/64498None
6245041865287https://www.tvmaze.com/episodes/2450418/leveling-up-in-a-fantasy-world-1x17-episode-17Episode 17117.0regular2022-12-2710:002022-12-27T02:00:00+00:0010.0NoneNoneNonehttps://api.tvmaze.com/episodes/2450418https://api.tvmaze.com/shows/65287None
7243651742384https://www.tvmaze.com/episodes/2436517/ddt-pro-wrestling-2022-12-27-ddt-ganbare-pro-giri-giri-chop-2022DDT Ganbare Pro "Giri Giri Chop! 2022"2022123.0regular2022-12-272022-12-27T03:00:00+00:00120.0NoneNoneNonehttps://api.tvmaze.com/episodes/2436517https://api.tvmaze.com/shows/42384None
8243408065269https://www.tvmaze.com/episodes/2434080/eden-descendants-of-instinct-2x07-episode-7Episode 727.0regular2022-12-272022-12-27T03:00:00+00:0066.0NoneNoneNonehttps://api.tvmaze.com/episodes/2434080https://api.tvmaze.com/shows/65269None
9243608255016https://www.tvmaze.com/episodes/2436082/ling-jian-zun-5x144-episode-344Episode 3445144.0regular2022-12-272022-12-27T04:00:00+00:0010.0NoneNoneNonehttps://api.tvmaze.com/episodes/2436082https://api.tvmaze.com/shows/55016None
idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
100246433665783https://www.tvmaze.com/episodes/2464336/the-story-of-home-1x06-heart-of-the-homeHeart of the Home16.0regular2022-12-272022-12-27T17:00:00+00:0024.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/440/1100664.jpghttps://static.tvmaze.com/uploads/images/original_untouched/440/1100664.jpghttps://api.tvmaze.com/episodes/2464336https://api.tvmaze.com/shows/65783<p>Designers Tara and Percy tackle the last project of the house, the kitchen.</p>
101243314748444https://www.tvmaze.com/episodes/2433147/sisi-2x01-folge-1Folge 121.0regular2022-12-2720:152022-12-27T19:15:00+00:0052.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/435/1088497.jpghttps://static.tvmaze.com/uploads/images/original_untouched/435/1088497.jpghttps://api.tvmaze.com/episodes/2433147https://api.tvmaze.com/shows/48444None
102244099048444https://www.tvmaze.com/episodes/2440990/sisi-2x02-folge-2Folge 222.0regular2022-12-2721:002022-12-27T20:00:00+00:0052.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/435/1089175.jpghttps://static.tvmaze.com/uploads/images/original_untouched/435/1089175.jpghttps://api.tvmaze.com/episodes/2440990https://api.tvmaze.com/shows/48444None
103244099148444https://www.tvmaze.com/episodes/2440991/sisi-2x03-folge-3Folge 323.0regular2022-12-2722:002022-12-27T21:00:00+00:0052.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/435/1089176.jpghttps://static.tvmaze.com/uploads/images/original_untouched/435/1089176.jpghttps://api.tvmaze.com/episodes/2440991https://api.tvmaze.com/shows/48444None
104244097659878https://www.tvmaze.com/episodes/2440976/are-you-the-one-4x07-folge-7Folge 747.0regular2022-12-2700:002022-12-27T23:00:00+00:0045.0NoneNoneNonehttps://api.tvmaze.com/episodes/2440976https://api.tvmaze.com/shows/59878None
105244097759878https://www.tvmaze.com/episodes/2440977/are-you-the-one-4x08-folge-8Folge 848.0regular2022-12-2700:002022-12-27T23:00:00+00:0045.0NoneNoneNonehttps://api.tvmaze.com/episodes/2440977https://api.tvmaze.com/shows/59878None
106244393063737https://www.tvmaze.com/episodes/2443930/mayflies-1x01-episode-1Episode 111.0regular2022-12-2700:002022-12-28T00:00:00+00:0059.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/434/1087062.jpghttps://static.tvmaze.com/uploads/images/original_untouched/434/1087062.jpghttps://api.tvmaze.com/episodes/2443930https://api.tvmaze.com/shows/63737<p>Tully and Jimmy's 30-year friendship is tested when Tully asks Jimmy to help him take control of a terminal cancer diagnosis, by taking him to Switzerland to die on his own terms.</p>
107244393163737https://www.tvmaze.com/episodes/2443931/mayflies-1x02-episode-2Episode 212.0regular2022-12-2700:002022-12-28T00:00:00+00:0059.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/434/1087063.jpghttps://static.tvmaze.com/uploads/images/original_untouched/434/1087063.jpghttps://api.tvmaze.com/episodes/2443931https://api.tvmaze.com/shows/63737<p>Moral dilemmas occupy Jimmy as he plans the Switzerland trip, but tempers flare when Tully's wife Anna discovers the plan and declares she will not support Tully's assisted dying.</p>
10823671232266https://www.tvmaze.com/episodes/2367123/wwe-nxt-16x52-main-event-wes-lee-c-vs-tony-dangelo-for-the-nxt-north-american-championshipMain Event: Wes Lee (c) vs. Tony D'Angelo for the NXT North American Championship1652.0regular2022-12-2720:002022-12-28T01:00:00+00:00125.0NoneNoneNonehttps://api.tvmaze.com/episodes/2367123https://api.tvmaze.com/shows/2266None
109244992323967https://www.tvmaze.com/episodes/2449923/restored-2022-12-27-uncovering-an-1899-queen-anne-victorianUncovering an 1899 Queen Anne Victorian20221.0regular2022-12-2721:002022-12-28T02:00:00+00:0060.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/454/1135888.jpghttps://static.tvmaze.com/uploads/images/original_untouched/454/1135888.jpghttps://api.tvmaze.com/episodes/2449923https://api.tvmaze.com/shows/23967<p>Brett restores a Victorian's lost style for a multigenerational family.</p>